Hitachi High-tech Corporation

Hitachi-high-technologies Corporation

Takahiro Urano

Toshifumi Honda

Takashi Hiroi

Nobuaki Hirose

Hisashi Hatano

Hironori Sakurai

Kaoru Sakai

Mamoru Kobayashi

Hidetoshi Nishiyama

Nobuhiro Obara

Takanori Kondo

The present disclosure proposes a method for classifying defects and the like by using a learning device that has been suitably trained, a system, and a computer-readable medium. As one aspect thereof, the present disclosure proposes (see FIG.) a defect inspection method, etc., in which one or more computers are used to inspect a defect on a sample on the basis of output information from detectors that detect scattered light produced via the irradiation of the sample with light, wherein defect information is outputted by: receiving output from a plurality of detectors disposed at a plurality of angles of elevation with reference to the sample surface, and at a plurality of sample surface-direction orientations with reference to the irradiation points of the light on the sample; and inputting the output information of the plurality of detectors into a learning device that has been trained using the output information from the plurality of detectors and the defect information.

Method for defect inspection, system, and computer-readable medium

The objective of the present invention is provide a defect inspection apparatus that increases defect position precision and can easily align a coordinate origin offset between a reviewing apparatus and the defect inspection apparatus, even when design data cannot be obtained or it is difficult to sufficiently use the design data. The defect inspection apparatus according to the present invention acquires a wafer swath image necessary for inspection, and uses the swath image to detect defects and calculate a positional deviation amount. During the calculation of the positional deviation amount, a template pattern is acquired from one arbitrary swath image via an image processing unit, and the template pattern and a plurality of swath images of the entire wafer are compared, whereby the positional deviation amount for a position corresponding to the template pattern on the wafer is calculated. For positions at which the template pattern is not present, an interpolated positional deviation amount is calculated by executing an interpolation operation by using the calculated positional deviation amount. A defect position is corrected on the basis of the positional deviation amount and the interpolated positional deviation amount, or by using a positional deviation map in which these positional deviation amounts have been mapped on the entire wafer.

Defect inspection apparatus and defect inspection program

The purpose of the present invention is to provide a defect inspection device with which it is possible to determine a defect candidate position more accurately than before, even when design data cannot be obtained or are difficult to be utilized sufficiently. The present invention solves the problem by: setting an appropriate reference die or reference chip over a wafer to be inspected; setting, with respect to each of swath channel die images obtained by dividing a reference die swath image into a plurality of portions and detecting the portions, one or more reference patterns; correcting a position error of a swath image obtained from another die to be inspected, using the reference pattern for each swath channel image; and performing defect detection using the corrected swath channel image.

Defect inspection method and defect inspection device

The purpose of this invention is to make it possible to efficiently and accurately detect a reticle defect at an earlier stage in a manufacturing process. The inspection device according to this invention uses the results of comparing die images of wafers that have had patterns transferred thereto using the same reticle after subjecting the die images to averaging processing and the results of comparing the die images without subjecting the same to averaging processing to distinguish a random defect signal caused by a huge defect, or the like, and having an extremely high brightness from a repeated defect signal, and only extracts repeated defects with higher accuracy.

Defect inspection device and defect inspection method

An inspection information generation device includes a design information acquirer configured to acquire design information of a sample to be inspected, a candidate region extractor configured to use the design information to extract multiple candidate regions, an image capturer configured to capture images of the multiple candidate regions, a similarity calculator configured to use the images of the multiple candidate regions to calculate a similarity or distance between the multiple candidate regions, and a region determiner configured to use the similarity or the distance to determine, as inspection information, at least one reference region corresponding to a region to be inspected.

Inspection information generation device, inspection information generation method, and defect inspection device

A defect class that can identify true information or false information regarding a defect of an inspection target is received, it is determined whether or not the number of true information and the number of false information are insufficient to set a defect extraction parameter of a predetermined region, a feature amount of the defect is extracted in a region other than the predetermined region when it is determined that the number of true information and the number of false information are insufficient, the feature amounts are totalized by adding the feature amount of the defect extracted in a region other than the predetermined region to the feature amount of the defect extracted in the predetermined region, and the totalized feature amount of the defect is displayed for adjustment of the defect extraction parameters.

The present invention aims at providing a defect inspection technique capable of setting parameters used for detecting a defect with a less burden to a user. A defect inspection device according to the present invention receives multiple reference values input by the user and calculates a defect extraction condition so as to optimize an evaluation value calculated with the use of the reference values, the number of actual reports, and the number of false reports.

Flaw inspection device and flaw inspection method

The present invention aims at providing a defect inspection technique capable of setting parameters used for detecting a defect with a less burden to a user. A defect inspection device according to the present invention receives multiple reference values input by the user and calculates a defect extraction condition so as to optimize an evaluation value calculated with the use of the reference values, the number of actual reports, and the number of false reports (refer to FIG.).

In order to achieve highly precise alignment of inspection images when integrating a plurality of inspection images having different imaging conditions to improve inspection performance, and in order to achieve highly precise alignment of images acquired at different inspection angles and different polarization states, an inspection device is configured to comprise: an image acquiring unit that acquires image data, under a plurality of imaging conditions, for a sample; a feature extracting unit that extracts at least one feature point; a position correction calculating unit that calculates, on the basis of the feature point, the amount of position correction for the plurality of image data sets; a position correcting unit that corrects the position of the plurality of image data sets with the amount of position correction; and an integrating unit that detects defects by integrating a plurality of data sets for which position correction is done.

In an defect inspection method and device, in order to detect a minute defect present on a surface of a sample with a high degree of sensitivity, a defect inspection method includes imaging the same region of a sample in a plurality of image acquisition conditions and acquiring a plurality of images, processing the plurality of acquired images and extracting a defect candidate, clipping a partial image including the extracted defect candidate and a neighboring image of the defect candidate from the acquired images based on position information of the extracted defect candidate, obtaining feature quantities of the defect candidates in the plurality of clipped partial images, associating the defect candidates that have the same coordinates on the sample and are detected in different image acquisition condition, extracting a defect from among the associated defect candidates in a multi-dimensional feature quantity space, and outputting information of the extracted defect.

Disclosed is a defect inspection device that has an illumination optical system; a detection optical system; and a processing unit which includes a defect feature quantity calculation unit that calculates the feature quantities of each defect candidate, a defect candidate grouping unit that groups the aforementioned defect candidates on the basis of the feature quantities, a defect classification evaluation value calculation unit that calculates defect classification evaluation values for the aforementioned defect candidates, a defect classification evaluation value updating unit that, on the basis of instructions, updates the evaluation values, a defect classification threshold determination unit that, on the basis of evaluation valued updated by the aforementioned defect classification evaluation value updating unit, determines a classification boundary that is a threshold for classifying defect types of the aforementioned defect candidates, and a defect detection unit that detects defects using the thresholds.

Disclosed is a defect inspection device comprising: an illumination optical portion which illuminates an object to be inspected with illuminating light; a detection optical portion system illuminated by the illumination optical portion and provided with a plurality of detectors which respectively detects components of scattering light which scatter from the inspected object each in a different direction of azimuthal angle or in a different direction of angle of elevation with respect to a surface of the inspected object; and a signal processing portion which makes gain adjustments and defect decisions in parallel on plural signals based on the components of the scattering light from the inspected object detected by the detectors, respectively, the defect decisions being based on a threshold value decision, and which extracts defects based on results of the gain adjustments and of the defect decisions.

Defect inspection device and method of inspecting defect

A defect inspection apparatus includes an illumination optical system which irradiates an inspection subject under a predetermined optical condition, a detection optical system which obtains image data by detecting a scattered light from the inspection subject irradiated by the illumination optical system, and an image processing unit provided with a defect candidate detection unit which detects defect candidates with respect to plural image data obtained by the detection optical system under different conditions, and a post-inspection processing unit which executes a defect determination by integrating the defect candidates with respect to the plural image data.

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Tokyo, Japan

Takahiro Urano